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fusion with cellular or endosomal membranes, has led to major advances in this field, culminating in the development of mRNA vaccines against COVID-19. The objective of this PhD thesis is to develop a
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this knowledge in areas such as energy and materials research. The successful candidate will join a research group with a strong international profile and active collaborations at leading research facilities
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laser beams, in the context of future laser fa-cilities for inertial fusion. It will be carried out within the theory group TIPS (Theory, Plas-ma Interpretation & Simulation), in close collaboration with
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selection criteria Knowledge/experience with control engineering, information fusion and/or data assimilation, marine technology Knowledge of and hands-on experience with machine learning and/or statistical
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well as collaborate effectively within a larger research team. Good written and spoken English. Experience with radar, signal processing, computer vision, autonomous driving, or sensor fusion is advantageous. TU Delft
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A
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requirements for admission to the PhD programme Experience implementing and modifying deep learning architectures. Working knowledge of Python and a modern deep learning framework. Strong programming skills in
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and
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master’s degree in (applied) physics or a closely related field Basic knowledge of plasma physics, fluid dynamics, and preferably of nuclear fusion energy. Experience with managing one’s own scientific